Created
April 13, 2019 11:33
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# library | |
from mpl_toolkits.mplot3d import Axes3D | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import seaborn as sns | |
# Get the data (csv file is hosted on the web) | |
url = 'https://python-graph-gallery.com/wp-content/uploads/volcano.csv' | |
data = pd.read_csv(url) | |
# Transform it to a long format | |
df=data.unstack().reset_index() | |
df.columns=["X","Y","Z"] | |
# And transform the old column name in something numeric | |
df['X']=pd.Categorical(df['X']) | |
df['X']=df['X'].cat.codes | |
# We are going to do 20 plots, for 20 different angles | |
for angle in range(70,210,2): | |
# Make the plot | |
fig = plt.figure() | |
ax = fig.gca(projection='3d') | |
ax.plot_trisurf(df['Y'], df['X'], df['Z'], cmap=plt.cm.viridis, linewidth=0.2) | |
ax.view_init(30,angle) | |
filename='Volcano/Volcano_step'+str(angle)+'.png' | |
plt.savefig(filename, dpi=96) | |
plt.gca() | |
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